According to Sawyer Merritt on X, Tesla has started its first FSD (Supervised) public road trials in Abu Dhabi, with a human driver monitoring at all times and the program operating under UAE government regulation. As reported by Sawyer Merritt, these supervised tests mark Tesla’s initial Middle East deployment of its vision-based ADAS stack, signaling potential pathways for regulatory approvals in high-ambient-heat, complex urban environments. According to Sawyer Merritt, the pilot focuses on safety validation, data collection, and localization for right-of-way norms and lane conventions, which can accelerate model calibration and geofencing policies. For businesses, as reported by Sawyer Merritt, this creates opportunities in high-definition mapping services, sensor calibration, compliance tooling, and insurance risk modeling tailored to semi-autonomous fleets in the GCC region.

According to Sawyer Merritt on X, Waymo has begun serving its first public riders with fully autonomous robotaxis in Dallas, Houston, San Antonio, and Orlando, marking its first simultaneous multi-city public launch. As reported by Sawyer Merritt citing Waymo’s announcement, this expansion accelerates real-world deployment of autonomous driving stacks and perception models, creating immediate opportunities for fleet operations, mapping, and urban AV integrations. According to Waymo’s prior public communications referenced by Sawyer Merritt, scaling to multiple metros enables richer edge-case data collection and faster safety validation cycles, which can attract municipal partnerships and commercial agreements with hospitality, airports, and event venues.

According to SawyerMerritt on X, Waymo’s robotaxi fleet has surpassed 200 million fully autonomous miles, averaging about 448,000 miles per day since crossing 100 million miles in July 2025. As reported by SawyerMerritt, this rapid ramp underscores accelerated deployment in Phoenix, San Francisco, Los Angeles, and Austin, creating larger real‑world datasets that improve perception, planning, and edge‑case handling via continuous learning. According to SawyerMerritt, the sustained high‑mileage operations strengthen the business case for autonomous ride‑hailing by lowering cost per mile and supporting expansion into airport routes and late‑night service windows. As cited by SawyerMerritt, the scale also enables more robust safety benchmarking and reliability metrics, which enterprise partners and regulators require for service approvals and insurance underwriting.

According to Sawyer Merritt on X, Waymo and Stanford Athletics announced a partnership naming Waymo the Official Ride-Hailing Partner of Stanford Athletics, introducing Waymo’s autonomous ride-hailing service on campus. According to Sawyer Merritt, the deployment signals expanded real-world operations for Waymo’s autonomous driving stack, creating new use cases for event-day mobility, first mile last mile shuttles, and campus safety rides. As reported by Sawyer Merritt, the partnership could accelerate student and visitor adoption of driverless ride-hailing and provide Waymo with high-density, repeatable routes ideal for improving perception and planning models. According to Sawyer Merritt, the collaboration positions Waymo to gather valuable telemetric data around stadium events and peak traffic flows, which can enhance fleet optimization, routing, and monetization in similar university and sports venue markets.

According to Sawyer Merritt on X, newly posted photos show Tesla Cybercabs without steering wheels, indicating a fully autonomous interior layout aligned with Tesla’s planned robotaxi service. As reported by Sawyer Merritt, the cabin lacks driver controls, implying reliance on Tesla Full Self-Driving software and onboard compute for Level 4 style service operations, pending regulatory approval. According to Sawyer Merritt, the design suggests cost-optimized fleets for ride-hailing with higher passenger space utilization, which could lower per-mile costs for urban mobility providers if Tesla scales production. As reported by Sawyer Merritt, the images reinforce Tesla’s push to commercialize autonomous ride services, presenting opportunities for fleet operators, city pilots, and mobility-as-a-service platforms that integrate Tesla FSD APIs once available.

According to XPengMotors on X, XPENG executives discussed Physical AI at the World Governments Summit, highlighting how autonomous driving and robotaxis could transition into everyday mobility as adoption scales over the next decade, with remarks attributed to Vice Chairman Brian Gu (source: XPENG post linking Brian Gu’s talk). As reported by XPENG, the company positions autonomy as a near-term consumer experience shift, moving AI from software to physical systems in vehicles, which signals opportunities in robotaxi services, city logistics, and in-car AI copilots. According to the XPENG share, the emphasis is on real-world reliability, cost reduction, and regulatory collaboration as levers for commercialization, indicating potential revenue streams in subscription-based ADAS, fleet operations, and mobility-as-a-service in urban markets.

According to Google DeepMind, the launch of the Waymo World Model marks a significant advancement in autonomous driving AI. The model leverages large-scale neural networks to enhance the safety and reliability of self-driving vehicles, providing a new benchmark for real-world simulation and decision-making. As reported by Google DeepMind, this innovation is expected to accelerate practical deployment and improve the commercial viability of autonomous fleets.

According to Sawyer Merritt, Waymo has introduced the Waymo World Model, a generative AI system built on Google DeepMind’s Genie 3, which significantly advances large-scale, hyper-realistic autonomous driving simulation. The new model enables proactive training of the Waymo Driver by simulating rare and complex edge-case scenarios, such as tornadoes or airplanes landing on highways, before these are encountered in real-world operations. As reported by Sawyer Merritt, the model features high controllability, allowing engineers to customize simulations using language prompts, driving inputs, and scene layouts. It outputs high-fidelity, multi-sensor data, including both camera and lidar streams, enabling Waymo to enhance safety and scalability across diverse environments.

According to Sawyer Merritt, Tesla has officially launched an AI training center in China, as confirmed by Tesla China VP Grace Tao. The new facility is designed to deploy Tesla's advanced AI capabilities for local assisted driving and AI applications, marking a significant step in Tesla's regional strategy. As reported by cnevpost.com, this move positions Tesla to enhance its autonomous driving solutions and tailor AI advancements specifically for the Chinese market, potentially accelerating business opportunities and competitive growth in the automotive AI sector.

According to @XPengMotors, XPENG is showcasing not just new electric vehicle models but also the latest advancements in intelligent mobility powered by AI at the 2026 Singapore Motor Show. The company emphasizes its commitment to building the future of smart transportation, highlighting AI-based autonomous driving features and connectivity solutions designed to transform user experiences and expand business opportunities in the automotive sector.

According to XPENG (@XPengMotors), the company announced its continued global expansion in 2026 by entering the New Zealand market, emphasizing how their electric vehicles blend advanced technology with the country's natural landscapes. This move demonstrates XPENG's commitment to integrating smart features, such as autonomous driving and AI-powered navigation, into its electric vehicles for international consumers. The expansion aligns with global trends of smart mobility and highlights business opportunities for AI-driven automotive solutions in emerging markets, as reported by XPENG's official Twitter feed.

According to Sawyer Merritt on Twitter, leading automotive manufacturers are integrating advanced AI technologies into upcoming car models, promising significant advancements in autonomous driving and smart vehicle features. As reported by Sawyer Merritt, these innovations are set to enhance user experience, safety, and operational efficiency, showcasing the increasing role of AI in shaping the future of the automotive industry.

According to @SawyerMerritt, a local TV station in Hokkaido, Japan recently aired his video demonstrating Tesla FSD (Supervised) V14 navigating snowy conditions. As reported by Sawyer Merritt, the broadcast offered valuable insights for viewers in Hokkaido, a region known for heavy snowfall, highlighting the practical applications and reliability of Tesla's autonomous driving technology in challenging winter environments. This exposure underscores growing interest in advanced driver-assistance systems and their potential to address region-specific mobility needs.

According to Sawyer Merritt on Twitter, a recent TV segment organized with support from @AndTesla18650 showcased Tesla’s latest developments in artificial intelligence. The segment spotlighted Tesla’s integration of advanced AI systems into their vehicles, emphasizing practical applications such as autonomous driving and real-time data processing. This exposure underlines growing business opportunities for AI-powered automotive solutions and positions Tesla as a leader in leveraging AI for commercial and consumer use, as reported by Sawyer Merritt.

According to Sawyer Merritt, Tesla will now increase its dashcam recording history, allowing vehicles to keep up to the last 24 hours of footage with a 1TB drive or larger, and up to 3 hours with a 128GB drive. This advancement leverages Tesla’s AI-driven video analysis capabilities, enabling better incident documentation and potentially enhancing machine learning datasets for autonomous driving improvements. As reported by Not a Tesla App, this move highlights Tesla's focus on leveraging AI and data retention for improved safety features and business value.

According to Sawyer Merritt on Twitter, Dubai is collaborating with The Boring Company to construct a 4-mile loop tunnel featuring four stations and connecting the Dubai International Financial Centre to Dubai Mall, with a planned extension to 14 miles. Only Tesla vehicles will operate within the tunnel, leveraging advanced AI-powered autonomous driving technologies. This initiative demonstrates the growing integration of AI and smart mobility solutions in urban infrastructure, offering business opportunities for AI-driven autonomous vehicle platforms and intelligent transport management, as reported by Sawyer Merritt.

According to Sawyer Merritt on Twitter, Tesla is projected to deliver its 10 millionth vehicle by the third quarter of 2026. This milestone highlights Tesla's rapid manufacturing growth and its leading position in the electric vehicle market. For the AI industry, this scale of vehicle delivery underscores increasing opportunities for autonomous driving technology integration and advanced neural network deployment across Tesla's expanding global fleet, as reported by Sawyer Merritt.

According to XPENG (@XPengMotors), the XPENG P7+ offers an impressive 725 liters of cargo space, which can be expanded to 2,221 liters, positioning it as a leading electric vehicle in terms of storage capacity. This significant capacity, combined with XPENG's ongoing integration of AI-powered smart features such as autonomous driving and intelligent cockpit systems, underlines the brand's commitment to enhancing practical usability for both consumers and business fleets. As reported by XPENG, these features support the growing demand for AI-driven electric vehicles that offer both advanced technology and everyday convenience, presenting new opportunities for logistics, ride-sharing, and mobility-as-a-service sectors.

According to @XPengMotors, XPENG is preparing for global expansion as thousands of families across different continents anticipate the arrival of its AI-powered electric vehicles. This move highlights XPENG’s commitment to integrating advanced AI systems for smart mobility and personalized driving experiences, as reported by XPENG’s official Twitter feed. The company’s international growth reflects a broader industry trend toward leveraging AI for autonomous driving, route optimization, and user-centric services in the electric vehicle market.

According to Sawyer Merritt on Twitter, Tesla has launched a new Model Y AWD variant in the U.S. priced at $41,990, featuring a 294-mile range and 0-60mph acceleration in 4.6 seconds. Tesla's updated lineup, which now includes the Model Y RWD, Model Y AWD, and Model Y Premium RWD, reflects the company's ongoing commitment to integrating advanced AI-driven systems for autonomous driving and smart vehicle management. As reported by Sawyer Merritt, these models reinforce Tesla's position in the electric vehicle market, presenting significant business opportunities for AI-powered automotive technologies and software services.